Stock Market's Reactions to Industrial Accidents

Wei, Jiuchang; Wang, Han; Guo, Xiumei

doi:10.4018/ijban.2014040102

Cited by 2 publications

(1 citation statement)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…al., 2005). In several studies, variations in stock prediction were attributed to different factors which can cause fluctuation of stock market (Jiuchang et. al., 2014).…”

Section: Introductionmentioning

confidence: 99%

Simulation of Stock Prediction System using Artificial Neural Networks

Mumini

Adebisi

Edward

et al. 2016

International Journal of Business Analytics

View full text Add to dashboard Cite

Stock trading, used to predict the direction of future stock prices, is a dynamic business primarily based on human intuition. This involves analyzing some non-linear fundamental and technical stock variables which are recorded periodically. This study presents the development of an ANN-based prediction model for forecasting closing price in the stock markets. The major steps taken are identification of technical variables used for prediction of stock prices, collection and pre-processing of stock data, and formulation of the ANN-based predictive model. Stock data of periods between 2010 and 2014 were collected from the Nigerian Stock Exchange (NSE) and stored in a database. The data collected were classified into training and test data, where the training data was used to learn non-linear patterns that exist in the dataset; and test data was used to validate the prediction accuracy of the model. Evaluation results obtained from WEKA shows that discrepancies between actual and predicted values are insignificant.

show abstract

“…al., 2005). In several studies, variations in stock prediction were attributed to different factors which can cause fluctuation of stock market (Jiuchang et. al., 2014).…”

Section: Introductionmentioning

confidence: 99%